Introduction to AI
Gary Geunbae Lee, Eng 2-211, firstname.lastname@example.org, 279-2254
1. Course objectives
This course teaches basic knowledge of modern AI including heuristics search and problem solving, logics and knowledge representation, probabilistic and bayesian reasoning, MDP and reinforcement learning, machine learning and neural networks, and several applications such as vision, NLP, robotics, etc.
2. Course prerequisites
no required pre-requisite
3-4 (programming) assignments 30%
4 texts or references
Artificial Intelligence: A Modern Approach, 4th ed. by Stuart Russell (UC Berkeley) and Peter Norvig (Google).
instruction language: English
the 3-4 assignments will be for solving (including programming) several interesting AI problems (every 4-5 weeks)
6. Course schedule & Material
*Most of the slides come from Berkeley AI course-CS188 which are available at http://ai.berkeley.edu